Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Mark Watson
A guide for using RDF data in information processing, linked data, and semantic web applications using both the AllegroGraph product and the Sesame open source project. Primarily written for programmers using either Java or other JVM languages.
by Ciza Thomas (ed.) - InTech
This book provides researchers in the field of ontology and information science an opportunity to share their results. It also includes the design aspects of domain ontologies considering the architecture, development strategy and selection of tools.
by S. Ventura Soto, Jose M. Luna, Alberto Cano (eds) - InTech
High volumes of valuable data are generated day by day in modern organizations. The management of huge volumes of data has become a priority in these organizations, requiring new techniques for data management and analysis in Big Data environments.
by Jeroen Janssens - O'Reilly Media
This guide demonstrates how the flexibility of the command line can help you become a more productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.